output
20072023
most citedOne-Shot Learning on Attributed Sequences

4 citations

7 papers

cs.CV2023★ 2 cited

Inclusive normalization of face images to passport format

Hongliu Cao, Minh Nhat Do, Alexis Ravanel +1

Face recognition has been used more and more in real world applications in recent years. However, when the skin color bias is coupled with intra-personal variations like harsh illu…

cs.IR2023

Multi-view user representation learning for user matching without personal information

Hongliu Cao, Ilias El Baamrani, Eoin Thomas

As the digitization of travel industry accelerates, analyzing and understanding travelers' behaviors becomes increasingly important. However, traveler data frequently exhibit high…

cs.LG2022★ 4 cited

One-Shot Learning on Attributed Sequences

Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner +2

One-shot learning has become an important research topic in the last decade with many real-world applications. The goal of one-shot learning is to classify unlabeled instances when…

cs.LG2020★ 1 cited

Many-to-one Recurrent Neural Network for Session-based Recommendation

Amine Dadoun, Raphael Troncy

This paper presents the D2KLab team's approach to the RecSys Challenge 2019 which focuses on the task of recommending accommodations based on user sessions. What is the feeling of…

cs.LG2020

Two Stages Approach for Tweet Engagement Prediction

Amine Dadoun, Ismail Harrando, Pasquale Lisena +2

This paper describes the approach proposed by the D2KLab team for the 2020 RecSys Challenge on the task of predicting user engagement facing tweets. This approach relies on two dis…

cs.LG2015★ 3 cited

Discovering Valuable Items from Massive Data

Hastagiri P. Vanchinathan, Andreas Marfurt, Charles-Antoine Robelin +2

Suppose there is a large collection of items, each with an associated cost and an inherent utility that is revealed only once we commit to selecting it. Given a budget on the cumul…